hadoop engineer resume

Data Engineer Resume Examples. Senior ETL And Hadoop Developer Resume Headline : A Qualified Senior ETL And Hadoop Developer with 5+ years of experience including experience as a Hadoop developer. Create a Resume in Minutes with Professional Resume Templates. Confirm. Experience on Hadoop and Hadoop Analytical/BI tools, Experience with multi-tenant platforms taking into account Data Segregation, Resource Management, Access Controls, etc, Experience with Red Hat Linux, UNIX Shell Scripting, Java, RDBMS, NoSQL, and ETL solutions, Experience with Kerberos, TLS encryption, SAML, LDAP, Experience with full SDLC deployments with associated administration and maintenance functions, Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time, Evaluation the new Hadoop components releases, Provide ongoing maintenance, support and enhancements in existing systems and platforms, Collaborate with BI Developers, data scientists, business users and other engineers to define requirements and design solutions, Perform database tuning including monitoring, troubleshooting and optimizing performance of the databases, More than 3 years of relevant experience with Hadoop ecosystem (Cloudera), More than 3 years of relevant experience with Java Development, More than 3 years of relevant experience with BI/DW ecosystem, Good understanding of Cloudera Hadoop architecture, Good understanding these Hadoop components, Knowledge in real-time or near real-time processes, Knowledge Databases like SQL Server, Oracle, Teradata is an asset, Knowledge Informatica ETL tool is an asset, Excellent communication skills in English and/or French (written and oral), Strong capacity to communicate ideas and solutions to non-technical people, Develop internal and client applications using a modern Big Data toolkit (Hadoop, Elasticsearch, MongoDB, Storm, etc. Provides innovative solutions for hotels around the globe that increase revenue, reduce cost, and improve performance. It proves your ability to deliver optimal user experience with today’s technology. Objective : Hadoop Engineer will be responsible for evaluating and performing detailed engineering activities supporting the design, development, and optimization of the data interconnection in a wireless network. Make your resume highlight the required core skills: Every designation that you will come across on … Apply for Hadoop Engineer Expert at StraitSys ... Upload resume. If you want to get a high salary in the Hadoop developer job, your resume should contain the above-mentioned skills. Here's what gets your resume from the slush pile to the "yes" pile -- and what sends it straight to the "no" pile. 10,730 open jobs for Hadoop engineer. At a minimum, a degree in Computer Science or IT is required. ), configuration, upgrading/patching, monitoring, trouble shooting, maintenance, and working with development team to install components (Hive, Pig, etc.) Expertise in Designing and Architecting Hadoop Applications and recommending the right solutions and technologies for the applications. Hadoop Engineer … Title: Network Systems Hadoop Engineer/ETL Developer Duration: 1 Year + Location: Irving, Texas Job Description Build and maintain NiFi data management work flows. **, Hands on experience with HDFS, Map Reduce, Spark, Hive, Airflow, Impala or similar technologies, Research, evaluate and utilize new technologies/tools/frameworks around Hadoop and AWS eco system, Excellent scripting skills in one or more (Java Script, Shell, Python etc. Applied by making use of Congo DB Got expertise hand in implementing AWS Redshift as an data ware house platform of all our management data that includes provisioning profiles and journaling filesystem Experience AWS Cloud Formation to create instances of compute sources, EC2 data base instances to manage cloud for automation on these DB databases. In depth and extensive knowledge of Splunk architecture and various components. – James Koibelus, Analyst at Forrester Research. There is a premium on people who know enough about the guts of Hadoop to help companies take advantage of it. ), Experience with RDBMS technologies and SQL language; Oracle and MySQL highly preferred, Hands on experience with open source management tools (Pig, Hive, Flume, Thrift API, etc.) Able to consolidate, validate and cleanse data from a vast range of sources – from applications and databases to files and Web services. Work experience of various phases of SDLC such as Requirement Analysis, Design, Code Construction, and Test. after-hours, weekends, and holidays) as needed, Ability to provide 24x7 rotating on-call support, Responsible for implementation and ongoing administration of Hadoop infrastructure of some or all of the big data systems in distributed cloud environments, Setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users, 7+ years of experience in Information Technology operations, 7+ years of relevant professional experience in Unix and Linux Systems, server hardware, virtualization, RedHat, 4+ years of demonstrated customer management experience, 4+ years working in a corporate datacenter environment, Good communication skills over the phone, e-mail and documentation, Strong team player capable of providing support across the IT organization to train and assist others, Demonstrable ability to work with a diverse team across global time zones (i.e., US, India, Europe) to effectively complete tasks and objectives, Ability to balance multiple priorities and meet specific deadlines through the use of strong organizational skills, Highly energetic, self-motivated, quick learner with the ability to work independently, Strong dedication, work ethic, sense of teamwork, and professional attitude, Proven history of constantly striving for improved methodology, efficiency, and work processes, Ability to work under considerable pressure managing multiple tasks and priorities, Demonstrates the ability to produce high-quality results with attention to details, Strong interpersonal, leadership, and team communications skills are essential, Willing to Travel domestically and internationally (5%), 3+ years of proven industry experience working on the backend services or infrastructure for a large scale, highly distributed web site or web service, Solid foundation in computer science fundamentals with sound knowledge of data structures, algorithms, and design, Strong Java or other object-oriented programming experience or, even better, experience and/or interest in functional languages (we use Scala! ), Aurora (or other cluster management frameworks like Marathon or Kubernetes), Comfortable in a small and fast-paced startup environment, Bachelors Degree or higher in Computer Science, Electrical Engineering or related field, Participate in the enterprise infrastructure vision and strategy, Focused on service reliability and sustainability, Technology experience required; Hive, Hbase, Sqoop, Ranger, zookeeper, NIFI, Other technologies good to have; Spark, Phoenix, Spring Batch, Accumulo, In depth experience with one of the major Hadoop distributions, 5-10 years’ experience with Unix management, complex computing platforms, and/or cutting-edge technologies involving virtualization, distribution, and high performance computing, Bachelors degree in Computer Science, technical field, or equivalent experience, Production support responsibilities include maximizing system availability, ensuring swift and complete database recovery, optimizing database and availability through ongoing maintenance, and ensure conformance to audit and operating standards, Participate in the evaluation, and recommendation of appropriate hardware and software resources, Conduct interviews for recruitment of full-time and consulting positions as required, Uphold enterprise policy guidelines and recommend new and improved guidelines to ensure compatibility and better service for end-users, Performing capacity monitoring and short and long-term capacity planning in collaboration with development resources, system administrators and system architects, Maintaining security according to best practices and generating security solutions that balance auditor requirements with user requirements, Participating in 24x7 on call rotation and customer service experience, Implement DR strategy for Hadoop Distributions collaborating with storage and Unix teams, Identifying and initiating resolutions to user problems/concerns associated with big data functionality (hardware and software), Staying abreast of the most current release of MPP technology (Netezza) and HADOOP (major distributions), including compatibility issues with operating systems, new functionalities and utilities, Provide Administration support on Datameer, Assist in Capacity Planning and Security Implementation, Consult with users, determine requirements and make design recommendations. Hadoop Bigdata Engineer/admin Resume Newport Beach, CA. Worked with big data developers, designers and scientists in troubleshooting map reduce job failures and issues with Hive, Pig and Flume. Get the right Hadoop engineer job with company ratings & salaries. Data Engineers help firms improve the efficiency of their information processing systems. Proactively monitored systems and services, architecture design and implementation of Hadoop deployment, configuration management and backup procedures. Each salary is associated with a real job position. Application powered by Jazz Help Center. Experience with tools like YourKit, JMH, statsd-jvm-profiler or equivalents a plus, Experience designing and deploying large scale distributed systems, either serving online traffic or for offline computation, Bonus points for experience with Hadoop, MongoDB, Finagle, Kafka, ZooKeeper, Graphite (or other time series metrics stores), JVM profiling, Grafana, Linux system administration, Chef (or equivalent experience with Puppet, Ansible, etc. - Choose from 15 Leading Templates. Educate and support onboarding of new team members, Excellent knowledge of Hadoop architecture and administration and support, Proficient in YARN,SPARK, Zookeeper, HBASE, HDFS, Pig, Hive, Sqoop, Flume, Python, and shell scripting; experience with Chef a plus, Expert understanding of ETL principles and how to apply them within Hadoop, Be able to read java code, and basic coding/scripting ability in Java, Perl, Ruby, C#, and/or PHP, Experienced with linux system monitoring and analysis, Customer service experience / strong customer focus, Strong analysis and troubleshooting skills and experience, Self-starter who is excited about learning new technology, Exposure to security concepts / best practices, 1+ years MPP and/or HADOOP administration experience, 5+ years Application Administration experience, Experience delivering presentations to senior leadership, BS or MS degree or equivalent experience relevant to functional area, Excellent Communication skills, both written and interpersonal, 5 years of software engineering or related experience, At least 2 years of experience with Hadoop components, including hdfs, hbase, spark and kafka, Experience of maintaining and tuning live production systems, Hadoop experience (hive, impala, spark, kafka, YARN .) Lay the foundation of your resume with program certifications, SQLs, and relevant frameworks. Passionate about Machine data and operational Intelligence. 1-3 years of experience working on the Hadoop platform. Monitored systems and services through Cloudera manager dashboard to make the clusters available for the business. Worked on pig for cleansing and optimizing millions of records on text data. What’s best about this is it not only pulls all jobs open in this space and location (and, potentially, profiles), but also similar opportunities and companies also seeking this profile. Menu Close ... Hadoop… The day-to-day tasks vary based on the data needs and the amount of data that is being managed, however, the following duties mentioned on the Hadoop Engineer Resume are core and essential for all industries – creating Hadoop applications to analyze data collections; creating processing framework for monitoring data collections and ongoing data processes; performing data extraction functions, testing scripts and analyzing the results; maintaining cybersecurity to maintain data security; and removing unnecessary data to create space. Developed data pipeline using Flume, Sqoop, Pig and Java map reduce to ingest customer behavioral data and financial histories into HDFS for analysis. What is the Average Salary for a Hadoop Developer? The advanced job search option will also help you search for open jobs with desired job titles likes’ Hadoop developer, Hadoop engineer, Hadoop admin, Hadoop architect, data scientists, etc. Yes: Strong object-oriented programming experience in dynamic languages "Hadoop is Java based, so strong Java experience is a huge indicator of a strong Hadoop engineer," Matuzic said. Installs, configures and deploys Hadoop cluster for development, production and testing. At Kaiser Permanente, Information … DevOps Engineer … It will also show that your abilities are going to help Data Science and Engineering teams work more efficiently. Sample resumes for this position showcase skills like reviewing the … AWS Engineer. Involved in collecting and aggregating large amounts of log data using Apache Flume and staging data in HDFS for further analysis. DevOps Engineer Skills; Wondering if you have the required DevOps skills, well, check out the Edureka’s DevOps course content. Performed benchmark test on Hadoop clusters and tweak the solution, based on test results. Data Engineer Resume. Hadoop Engineer average salary is $94,614, median salary is $90,000 with a salary range from $60,000 to $165,000. Oakland, CA. Serves a broad range of financial services, including personal banking, small business lending, mortgages, credit cards, auto financing and investment advice. Upgrades the Hadoop cluster from cdh3 to cdh4. https://www.velvetjobs.com/resume/hadoop-engineer-resume-sample Continuously improves a user's experience with the Web site content, and how their applications perform on the actual browsers, networks, and mobile devices. Writing a great Hadoop Developer resume is an important step in your job search journey. Sample resumes for this position showcase skills like reviewing the administrator process and updating system configuration documentation, formulating and executing designing standards for data analytical systems, and migrating the data from MySQL into HDFS using Sqoop. Moreover, in a resume, font size and font type also play an important role. Loaded unstructured data into Hadoop File System (HDFS). ), Experience with RDBMS technologies and SQL language; Teradata and Oracle highly preferred, Data modeling (Entity-Relational-Diagram), Understanding of high performance and large Hadoop clusters, Experience managing and developing utilizing open source technologies and libraries, Experience with Java Virtual Machines (JVM) and multithreaded processing, Experience with versioning, change control, problem management and troubleshooting, Lead a team of highly motivated data integration engineers, Provide technical advisory and expertise on Analytics subject matter, Create, implement and execute the roadmap for providing Analytics insight and Machine Learning, Identify useful technology that can be used to fulfill user story requirements from an Analytics perspective, Experiment with new technology as an ongoing proof of concept, Architect and develop data integration pipelines using a combination of stream and batch processing techniques, Integrate multiple data sources using Extraction, Transformation and Loading (ETL), Build data lake and data marts using HDFS, NoSQL and Relational databases, Manage multiple Big Data clusters and data storage in the cloud, Collect and process event data from multiple application sources with both internal Elsevier and external vendor products, Understand data science and work directly with data scientists and machine learning engineers, 8+ years experience in software programming using Java, JavaScript Spring, SQL, etc, 3+ years experience in service integration using REST, SOAP, RPC, etc, 3+ years experience in Data Management, Data Modeling, Python, Scala or any semi-functional programming preferred, Excellent SQL skills from different range levels of ANSI compliancy, Advanced knowledge of Systems and Service Architecture, Advanced knowledge of Polyglot Persistence and use of RDBMS, In-Memory Key/Value stores, BigTable databases and Distributed File Systems such as HDFS and Amazon S3, Industry experience working with large scale stream processing, batch processing and data mining, Extensive knowledge of the Hadoop ecosystem and its components such as HDFS, Kafka, Spark, Flume, Oozie, HBase, Hive, Experience with at least one of the Hadoop distributions such as Cloudera, Hortonworks, MapR or Pivotal, Experience with Cloud services such as AWS or Azure, Experience with Linux/UNIX systems and the best practices for deploying applications to Hadoop from those environments, Advanced knowledge of ETL/Data Routing and understanding of tools such as NiFi, Kinesis, etc, Good understanding of DevOps, SDLC and Agile methodology, Software/Infrastructure Diagrams such as Sequence, UML, Data Flows, Requirements Analysis, Planning, Problem Solving, Strategic Planning, Excellent Verbal Communication, Self-Motivated with Initiative, Education business domain knowledge preferred, Contributing member of a high-performing, agile team focused on next generation data & analytic technologies, Provide senior level technical consulting to create and enhance analytic platforms & tools that enables state of the art, next generation Big Data capabilities to analytic users and applications, Engineering and integrating Hadoop modules such as YARN & MapReduce, and related Apache projects such as Hive, Hbase, Pig, Provide senior level technical consulting to application development teams during application design and development for highly complex and critical data projects, Code and integrate open source solutions into the data-analytic ecosystem, Develop fast prototype solutions by integrating various open source components, Be part of teams delivering all data projects including migration to new data technologies for unstructured, streaming and high volume data, Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Storm and Kafka, Utilizing programming languages like Java, Spark, Python and NoSQL databases like Cassandra, Developing data management and governance tools on an open source framework, Hands on experience leading delivery through Agile methodologies, Experience developing software solutions to build out capabilities on a Big Data and other Enterprise Data Platforms, 2+ year Experience with the various tools & frameworks that enable capabilities within the data ecosystem (Hadoop, Kafka, , NIFI, Python, Hive, Tableau, MapReduce, YARN, Pig, Hbase, NoSQL), Experience developing data solutions on AWS, Experience designing, developing, and implementing ETL and relational database systems, Experience working with automated build and continuous integration systems (Chef, Jenkins, Docker), Experience with Linux including basic commands, shell scripting and solution engineering, Experience with data mining, machine learning, statistical modeling tools or underlying algorithms, Basic analytical and creative problem solving skills for creation and testing of software systems, Basic communication skills to provide systems diagnoses and resolution for current systems, Basic interpersonal skills to interact with customers, senior level personnel, and team members, Support application monitoring data system handling the reporting built in Platfora (existing) as well as working on the new architecture for migration, Competent with Hive table creation, loading, and querying as well as newer technologies such as Spark and Jethro and be able to ingest data into Hadoop to multiple areas within the ecosystem such as HDFS, Work with the business on developing new reporting outside of Platfora within Tableau or some other reporting tool available while developing a new architecture that would adhere to the performance requirements, Bachelor's Degree (or higher) or High School Diploma/GED with 5+ years of database design architecture experience, 5+ years of database design architecture experience, 5+ years of extract/transform/load (ETL) engineering & design experience, 1+ years of Hadoop core technologies (HDFS, Hive, YARN) experience, 1+ years of Hadoop ETL technologies (Sqoop/Sqoop2) experience, Familiarity with Linux server management and shell scripting, Excellent Linux skills and have hands-on experience administering an on-premise Hadoop cluster (master & worker nodes), Expertise with Red Hat Linux installation/management/administration, Expertise with Hadoop Cluster administration and management, Knowledge of SQL/Impala, Database Design and ETL skills, Extensive experience with Java, and the willingness to learn new technologies.

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